Automated land valuation models: A comparative study of four machine learning and deep learning methods based on a comprehensive range of influential factors-Reference-Cited by-同舟云学术

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Automated land valuation models: A comparative study of four machine learning and deep learning methods based on a comprehensive range of influential factors

Published:2024-08 Issue: Volume:151 Page:105115
ISSN:0264-2751
Container-title:Cities
language:en
Short-container-title:Cities

Author:

Jafary Peyman,Shojaei Davood,Rajabifard Abbas,Ngo Tuan

Publisher

Elsevier BV

Reference93 articles.

1. Artificial neural network in property valuation: Application framework and research trend;Abidoye;Property Management,2017

2. Regional population: Statistics about the population for Australia's capital cities and regions;ABS,2022

3. Urban residential land Price appraisal via quantifying impact factors based on deep belief networks;Ai,2020

4. A gradient boosting method for effective prediction of housing prices in complex real estate systems;Almaslukh,2020

5. Housing affordability report;ANZ-CoreLogic,2023

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